The document discusses different types of sampling procedures used in research, including probability sampling methods like random sampling, systematic sampling, and stratified random sampling, as well as non-probability sampling techniques such as accidental sampling, purposive sampling, and convenience sampling. It also provides an example of how to calculate sample size using the Slovin formula and defines key terms like population, margin of error, and sample.

1. Sampling Procedure
A.M.Somoray

2. Two General Types of
Sampling:
Probability sampling - is taking a sample
from the population.
• It ensures that there is a possibility for
each person in a sample population to be
selected

3. Types of Probability Sampling
• Random Sampling – This is similar to
lottery method that provides everyone in
the population the equal chance to be
picked as sample.
• Systematic Sampling – This is used if a
high density of a population is at stake.

4. • Stratified Random Sampling - dividing up the
population into smaller groups, and randomly
sampling from each group.
• Cluster Sampling - is similar to stratified
sampling because the population to be sampled
is subdivided into mutually exclusive groups.
However, in cluster sampling the groups are
defined so as to maintain the heterogeneity of
the population.
Example: Female members of Baranggay San
Isidro

5. Non-Probability Sampling
• Non-probability sampling represents
a group of sampling techniques that help
researchers to select units from
a population that they are interested in
studying. Collectively, these units form
the sample that the researcher studies

6. Types of Non-Probability Sampling
Network sampling – “referral sampling”
that stems from one or few identified
samples who after being involved in the
study will lead the researcher to other
samples who possess the same
attributes.
“word of mouth" approach of acquiring
participants.

7. • Accidental Sampling - A sampling by
opportunity in which the researcher takes the
respondents from those he meets
unexpectedly.
• Purposive Sampling – “Judgmental
sampling”. A deliberate selection of
individuals by the researcher based on
predefined criteria

8. • Convenience Sampling – Selecting respondents
in the easiest way. The respondents may be
the nearest people, friends, relatives,
accessible organization, available person.
• Quota Sampling - A sampling method of
gathering representative data from a group.

9. Determining the Sampling Size
Slovin formula
n = N
1+N(e)2
Where:
n=no.of sample
N= no. population
e = margin of error
**The margin of error may be .01 to .05. But the lower the
margin of error, the higher the accuracy of the result.

10. Activity:
Let’s say, you want to get a sample population of all
HRM students.
1st yr. – 440
2nd yr. – 400
3rd yr. – 330
4th yr – 275
Irregular – 100
Margin or error is 3%